Lead BI Developer

Launch Potato•Austin, TX

3d•$120,000 - $150,000•Remote

About The Position

Launch Potato is seeking a Lead BI Developer to own reporting infrastructure that supports decision-making across its Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals. The role partners closely with Yield, Paid Media, and Account Management teams to understand business needs, identify meaningful trends, conduct retrospective analyses, and connect data work to business decisions. The successful candidate will own reporting end to end, from raw data ingestion through dashboards, and will help standardize reporting and build trusted data sources that enable self-service analytics. This is a business-embedded role focused on whether reporting is understood, used, and acted upon—not simply building dashboards for handoff. The role has a growth path from technical execution toward proactive analytical partnership, including recommending actions and helping stakeholders anticipate opportunities. In the first 30 days, the developer will audit existing reporting, identify discrepancies, redundancies, and inconsistencies, and begin developing a standardization roadmap. By 60 days, they should understand how assigned verticals make money and their key performance levers, improve dashboard standardization, and handle ad hoc requests accurately and with business context. By 90 days, dashboard standardization should be underway, a roadmap for trusted data sources should be clear, and the developer should understand LookML structure well enough to make changes with awareness of downstream impacts. Within six months, the role is expected to establish trust through education, best practices, and a standardized reporting suite, while delivering proactive retrospective analyses. Within one year, the developer should be the trusted technical owner for assigned verticals, with standardized reporting and consistent retrospective analysis, and be viewed as a go-to analytical partner. Launch Potato describes itself as a profitable, bootstrapped discovery and conversion company with a South Florida headquarters and a remote-first team across 18 countries. Compensation includes a base salary of $120,000 to $150,000 per year, paid semi-monthly, a profit-sharing bonus, and competitive benefits. Future compensation increases are based on company and personal performance rather than annual cost-of-living adjustments.

Requirements

Minimum 7 years of experience in business intelligence or analytics.
Direct exposure to performance or affiliate marketing.
Expert SQL skills and comfort extracting accurate insights from raw, unstructured, complex data without relying on clean models.
Experience owning reporting end to end, from pipeline through dashboard.
Ability to build and standardize reporting, drive adoption, and improve data literacy.
Ability to connect data analysis to performance marketing levers such as campaign performance, conversion rates, and revenue per session.
Advanced LookML development or equivalent experience in Power BI or Tableau, including understanding downstream impacts of complex models.
Curiosity and willingness to develop business knowledge and act as a trusted analytical partner.
Strong analytical rigor, including tracing discrepancies to their source before drawing conclusions.
Ability to communicate findings with appropriate context for the audience and collaborate with stakeholders.

Responsibilities

Own reporting infrastructure and reporting for assigned business verticals, end to end from raw data ingestion through final dashboards.
Audit existing reporting with stakeholders to understand usage and identify discrepancies, redundancies, and inconsistencies.
Develop and execute a roadmap to standardize reporting and improve the efficiency of data consumption.
Build, standardize, and drive adoption of dashboards and reporting that support confident self-service analytics.
Partner with Yield, Paid Media, and Account Management to understand business context and key performance levers.
Conduct retrospective analyses across experiments, creatives, offers, seasonality, and customer acquisition cost (CAC) performance.
Handle ad hoc reporting requests accurately and with business context.
Understand LookML structure and make changes with awareness of downstream impacts.
Educate stakeholders and promote reporting best practices and data literacy.
Surface insights and recommend actions rather than only reporting findings.